侯庆山
计算机科学与技术工学博士学位，新加坡国立大学联合培养博士。AC米兰中文官网入口副教授，硕士生导师。首批入选中国科协青年人才托举工程（青托）博士生专项计划，曾获博士研究生国家奖学金、国家公派留学奖学金、辽宁省优秀博士毕业生等荣誉。以青年才俊人才引进的方式入职太原理工大学。
houqingshancv@gmail.com
计算机科学与技术工学博士学位，新加坡国立大学联合培养博士。AC米兰中文官网入口副教授，硕士生导师。首批入选中国科协青年人才托举工程（青托）博士生专项计划，曾获博士研究生国家奖学金、国家公派留学奖学金、辽宁省优秀博士毕业生等荣誉。以青年才俊人才引进的方式入职太原理工大学。
AI for Science
智慧医疗
脑机接口
具身智能
2014.09—2018.06 山西大同大学 数字媒体技术 本科
2018.09—2021.06 山西师范大学 计算机科学与技术 硕士
2021.09—2025.06 东北大学 计算机科学与技术 博士
2024.01—2025.01 新加坡国立大学 AI for Science 博士联合培养
2026.01—至今 太原理工大学 副教授、硕士生导师
[1] Hou, Q., et al. A Collaborative Self‑supervised Domain Adaptation for Low‑Quality Medical Image Enhancement. IEEE Transactions on Medical Imaging. (中科院 1 区 Top，第一作者)
[2] Hou, Q., et al. Image quality assessment guided collaborative learning of image enhancement and classification for diabetic retinopathy grading. IEEE Journal of Biomedical and Health Informatics. (中科院 1 区 Top，第一作者)
[3] Hou, Q., et al. A Reference‑Free Quality Enhancement Framework for Low‑quality Fundus Images. IEEE Transactions on Circuits and Systems for Video Technology. (中科院 1 区 Top，第一作者)
[4] Hou, Q., et al. Pathology‑preserving Transformer Based on Multi‑color Space for Low‑quality Medical Image Enhancement. IEEE Transactions on Multimedia. (中科院 1 区 Top，第一作者)
[5] Hou, Q., et al. A Reference‑free Self‑supervised Domain Adaptation Framework for Low‑quality Fundus Image Enhancement. In Proceedings of the 31st ACM International Conference on Multimedia. (ACM MM, 多媒体领域 Top 会议，CCF A，第一作者)
[6] Hou, Q., et al. A Clinical‑oriented Multi‑level Contrastive Learning Method for Disease Diagnosis in Low‑quality Medical Images. International Conference on Medical Image Computing and Computer Assisted Intervention. (MICCAI, 医学影像领域 Top 会议，第一作者)
[7] Hou, Q., et al. Can a Natural Image-Based Foundation Model Outperform a Retina-Specific Model in Detecting Ocular and Systemic Diseases?. Ophthalmology Science (JCR Q1，第一作者)
[8] Li, Y., Hou, Q.*(Co‑first author), et al. RIFNet: Bridging Modalities for Accurate and Detailed Retinal Disease Analysis. In International Conference on Medical Image Computing and Computer-Assisted Intervention. (MICCAI，医学影像领域 Top 会议，共同一作/通信作者)
[9] Cheng, S., Hou, Q.(Co‑first author), et al. Lesion‑Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. In International Conference on Medical Image Computing and Computer‑Assisted Intervention. (MICCAI，医学影像领域 Top 会议，共同一作)
[10] Wang, Y., Hou, Q.(Co‑first author), et al. A Clinical‑oriented Lightweight Network for High‑resolution Medical Image Enhancement. International Conference on Medical Image Computing and Computer Assisted Intervention. (MICCAI oral，医学影像领域 Top 会议，共同一作)
[11] Xu, J., Xue, P., Song, J., Huang, X., & Hou, Q. (2026, March). HLML-SNN: Fast continual learning in spiking neural networks achieved via hebbian learning-driven meta-learning. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 40, No. 32, pp. 27260-27268).(CCF A 人工智能顶级会议 通信作者)
